Senior Data Engineer, gTech Risk

• Develop and maintain the data architecture and predictive models powering gTech’s risk graph.
• Design and deploy automated key risk indicators (rKRIs) across all gTech workflows, replacing manual, point in time reporting.
• Integrate gTech operational data with central enterprise risk platforms to create a single, automated source of truth.
• Partner with core Data Science and Engineering teams to transition our risk analysis from reactive (incident based) to predictive (threat based).
• Build and manage executive dashboards for business reviews, pipeline management, and enterprise risk posture reporting.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
• Experience with Python or R for statistical analysis and model development.
• Experience in SQL and data visualization tools (e.g., Tableau, Looker).

Preferred qualifications:

• Master's degree in Data Science, Statistics, Computer Science, Economics, or equivalent practical experience.
• 6 years of experience in data analytics, data modeling, or risk quantification.
• Experience working within an Enterprise Risk Management (ERM) or Governance, Risk, and Compliance (GRC) framework.

• Bachelor's degree or equivalent practical experience.
• 5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
• Experience with Python or R for statistical analysis and model development.
• Experience in SQL and data visualization tools (e.g., Tableau, Looker).